A Secure Trust Model Based on Fuzzy Logic in Vehicular Ad Hoc Networks With Fog Computing

• Published in: IEEE access 2017-01, Vol.5, p.15619-15629
• Main Authors: Ahmad Soleymani, Seyed, Hanan Abdullah, Abdul, Zareei, Mahdi, Hossein Anisi, Mohammad, Vargas-Rosales, Cesar, Khurram Khan, Muhammad, Goudarzi, Shidrokh
• Format: Article
• Language: English
• Subjects: Cloud computing; Computational modeling; Data models; Edge computing; experience; fog node; Fuzzy logic; Line of sight; Mobile ad hoc networks; Nodes; plausibility; Reliability; Security; Trust; Uncertainty; VANET; Vehicles; Vehicular ad hoc networks
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2017.2733225

In vehicular ad hoc networks (VANETs), trust establishment among vehicles is important to secure integrity and reliability of applications. In general, trust and reliability help vehicles to collect correct and credible information from surrounding vehicles. On top of that, a secure trust model can deal with uncertainties and risk taking from unreliable information in vehicular environments. However, inaccurate, incomplete, and imprecise information collected by vehicles as well as movable/immovable obstacles have interrupting effects on VANET. In this paper, a fuzzy trust model based on experience and plausibility is proposed to secure the vehicular network. The proposed trust model executes a series of security checks to ensure the correctness of the information received from authorized vehicles. Moreover, fog nodes are adopted as a facility to evaluate the level of accuracy of event's location. The analyses show that the proposed solution not only detects malicious attackers and faulty nodes, but also overcomes the uncertainty and imprecision of data in vehicular networks in both line of sight and non-line of sight environments.